activity
20042026
most citedOn a Japanese Subjective Well-Being Indicator Based on Twitter data

7 citations · 17 across the 7 of their papers we have counts for

collaborators

10 papers

stat.AP2026

Feeling Left Behind? Territorial Disadvantage, Well-Being and Cohesion across European Regions

Stefano Maria Iacus, Giuseppe Porro, Haodong Qi +1

Left-behind places are usually identified using economic, demographic and accessibility indicators, but these may not align with well-being and social cohesion. We combine ten year…

econ.GN2025

Job Satisfaction Through the Lens of Social Media: Rural--Urban Patterns in the U.S

Stefano M Iacus, Giuseppe Porro

We analyze a novel large-scale social-media-based measure of U.S. job satisfaction, constructed by applying a fine-tuned large language model to 2.6 billion georeferenced tweets, a…

cs.SI2025

Two Americas of Well-Being: Divergent Rural-Urban Patterns of Life Satisfaction and Happiness from 2.6 B Social Media Posts

Stefano Maria Iacus, Giuseppe Porro

Using 2.6 billion geolocated social-media posts (2014-2022) and a fine-tuned generative language model, we construct county-level indicators of life satisfaction and happiness for…

cs.CL2025

The Human Flourishing Geographic Index: A County-Level Dataset for the United States, 2013--2023

Stefano M. Iacus, Devika Jain, Andrea Nasuto +3

Quantifying human flourishing, a multidimensional construct including happiness, health, purpose, virtue, relationships, and financial stability, is critical for understanding soci…

cs.CL2024★ 2 cited

Rethinking Scale: The Efficacy of Fine-Tuned Open-Source LLMs in Large-Scale Reproducible Social Science Research

Marcello Carammia, Stefano Maria Iacus, Giuseppe Porro

Large Language Models (LLMs) are distinguished by their architecture, which dictates their parameter size and performance capabilities. Social scientists have increasingly adopted…

econ.GN2021

Twitter Subjective Well-Being Indicator During COVID-19 Pandemic: A Cross-Country Comparative Study

Tiziana Carpi, Airo Hino, Stefano Maria Iacus +1

This study analyzes the impact of the COVID-19 pandemic on the subjective well-being as measured through Twitter data indicators for Japan and Italy. It turns out that, overall, th…